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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/hydro-wind-solar-power-resources-variability-forecast
课程评论：没有评论
课程名称：水力、风能和太阳能：资源、变异性与预测 概述：水力、风能和太阳能的发展正不断增长，目标之一是限制和减少温室气体排放。所有这些可再生能源都有间歇性，表现出不同程度的变异性。本课程提供了评估这些不同发电模式资源的基础，以及理解间歇性和季节性变异性的物理原因。课程详细介绍了不同的电力生产模式及气象变化带来的敏感性。短期和中期预测在可再生能源的发展及其与电网的整合中变得至关重要。因此，我们介绍了用于可靠预测水力、风能和太阳能发电厂电力生产的方法和工具。该MOOC由巴黎高科支持，并在巴黎综合理工学院的Energy4Climate跨学科中心的框架内开发，与桥梁学校合作完成。 课程大纲： - 模块名称：气候、能源与气象基础 描述：本模块提供有关能源和气象的一些基本知识。 - 模块名称：水力与河流能 描述：详述水力和河流能的相关知识。 - 模块名称：风能 描述：风能的基本原理和应用。 - 模块名称：太阳能 描述：太阳能的基本原理和应用。 - 模块名称：可再生能源集成与预测 描述：探讨可再生能源的集成及其预测技术。 该课程旨在为学员提供可再生能源领域的全面理解，并提升其在电力预测方面的专业能力。
Name:Basics on climate, energy and meteorology
Description:This module provides some basic knowledge on energy and meteorology.
Name:Hydro and fluvial power
Description:
Name:Wind power
Description:
Name:Solar Power
Description:
Name:Renewable energy integration and forecasting
Description:
The development of hydro, wind and solar power is growing strongly with as one objective to limit and reduce greenhouse gas emissions. All these renewable energies are intermittent with more or less strong variability. This course provides the basis for estimating the resource of these different modes of production and understanding the physical causes of intermittency and seasonal variability. The different modes of electricity production are detailed as well as the sensitivity induced by meteorological variations. Short and medium term forecast becomes a fundamental issue in the development of these renewable energies and in their integration to the electricity network. We therefore present the methods and tools used for a reliable forecast of the electricity production of hydro, wind and solar power plants. This MOOC has been supported by Ecole Polytechnique and was developed in the frame of the Energy4Climate Interdisciplinary Center of Institut Polytechnique de Paris in collaboration with Ecole des Ponts
